Update README.md

README.md

@@ -8,11 +8,13 @@ license: mit
 ---
 # Model Card
 
-This model is a fine-tuned version of [intfloat/multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small). It was fine-tuned on [Factrank](https://github.com/lejafar/FactRank/tree/master/factrank) data with additional samples from Dutch and Belgian parliaments tagged by GPT and Gemini. The primary goal of this model is to determine whether a given statement warrants fact-checking. It does **not** determine whether the statement is factually correct.
-1 label is given: FR, FNR or NF.
+This model is a fine-tuned version of [intfloat/multilingual-e5-small](https://huggingface.co/intfloat/multilingual-e5-small). It was fine-tuned on [Factrank](https://github.com/lejafar/FactRank/tree/master/factrank) data with additional machine annotated data from Dutch and Belgian parliamentary proceedings.
+
+The primary goal of this model is to determine whether a given statement warrants fact-checking. It does **not** determine whether the statement is factually correct.
 
+1 label is given: FR, FNR or NF.
 
-- **FR**: Factual Relevant (the statement is fact-checkable and requites verification)
+- **FR**: Factual Relevant (the statement is fact-checkable and requires verification)
 - **FNR**: Factual, Not Relevant (the statement can be fact-checked, but the wider relevance is lower)
 - **NF**: Not Factual (the statement does not contain information for fact-checking)
 
@@ -47,7 +49,6 @@ sample_texts = [
 
 results = pipe(sample_texts)
 predicted_labels = [res["label"] for res in results]
-
 ```
 
 ## Interpretation of Results